43,676 tickets. A pattern you will recognize.

Every nara rollout starts with data, whether the process is IT support, onboarding, or procurement. For a European manufacturing group, we analyzed the complete ServiceNow history from 2020 to 2026, anonymized and traceable. The result is not an estimate but a prioritized automation list built from real data.

How we went about it.

Synchronize

Ticket sync reads the complete incident history including attachments from ServiceNow, without disrupting day-to-day operations.

Unlock

Attachments are extracted, and every case is made searchable with embeddings.

Condense

Similar cases are grouped into case types and rated by volume, resolution time, and reassignments.

Prioritize

The result is a list of the cases where automation pays off first, along with the knowledge gaps behind them.

What the data showed.

01

51 case types

The ten most frequent cover 48% of the total volume.

02

1.24 days

Median resolution time, even for routine cases like password resets.

03

Around 20%

Share of tickets reassigned two or more times before they were resolved.

04

85 articles, 20 drafts

The knowledge base was checked against real demand. nara generated article drafts for the largest gaps.

One archive in depth. Millions behind it.

This analysis shows a single customer archive in full. In total, nara has analyzed over 40 million customer tickets using the same methodology: synchronize, unlock, condense, prioritize. The patterns repeat; the order of automation does not. That is why every project starts with your data.

The numbers are anonymized. The pattern is universal.

Passwords, access, VPN, devices, and status questions were among the recurring topics in this dataset. The ten most frequent case types represented 48% of its volume. This is not a general automation rate, but a clear starting point for technical and organizational validation.

The same analysis. Your data.

We analyze your ticket history and deliver a prioritized list: which case types nara should take over first, which knowledge is missing, and what that means in hours. Then you decide whether and where to start.

Start with your own numbers.

The ticket analysis is the first step of every nara rollout.